Bibliographic record
Abstract
The Last Man - photo by Alan McFetridge Songs of the Dead is a photographic exploration of the aftermath of a devastating fire that impacted the community of Fort McMurray in Alberta Canada on the 3rd of May 2016. Six months after the fire, stimulated by media coverage and reflecting on the discourse surrounding dispossession and the environment, the project commenced at ground level with support of a Royal Photographic Society Environmental Awareness Bursary in a region inhabited by Anishinaabe1 located within Treaty 8 Territory, the traditional lands of the Cree, Dene and unceded territory of the Métis. The visual essay presented here is centred in the wake of a major fire event, however, it is also about human law and ecosystems. By traversing discussions on ethics within documentary photography and briefly exploring the history Aftermath of this medium, we argue how photography can better address socio-ecological issues within climate change through poetics. We offer a way of resisting the norms of documentary photography, resulting from subject and process-driven methods.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.007 | 0.004 |
| Scholarly communication | 0.003 | 0.001 |
| Open science | 0.000 | 0.002 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.035 | 0.006 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".